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Space Objects Recognition Based on ISAR Image

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

In this paper, a method of spatial object recognition based on ISAR image is studied, and the recognition result of four kinds of spatial objects is given by simulation. Firstly, the feature of ISAR image is extracted based on two-dimensional wavelet transform and Gabor wavelet transform, and then the sub-optimal search method is used to compress the feature to improve the efficiency. Finally, the BP neural network is used to identify the target. The simulation result validates the effectiveness of the proposed algorithm.

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References

  1. Li, F.: Radar image target feature extraction method, pp. 2–6. Xi’an University of Electronic Science and Technology, Xi’an (2014)

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Author information

Authors and Affiliations

  1. Harbin Institude of Technology, Xidazhijie, 92, 150006, Harbin, China

    Zhenyuan Ji, Hongyan Jin, Yun Zhang & Encheng Hu

Authors
  1. Zhenyuan Ji
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  2. Hongyan Jin
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  3. Yun Zhang
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  4. Encheng Hu
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Corresponding author

Correspondence to Yun Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Ji, Z., Jin, H., Zhang, Y., Hu, E. (2019). Space Objects Recognition Based on ISAR Image. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_145

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_145

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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